Dataset Open Access

L4B - Maximum tree height map for the Brazilian Amazon

Gorgens, Eric Bastos; Nunes, Matheus Henrique; Jackson, Tobias; Coomes, David; Keller, Michael; Reis, Cristiano Rodrigues; Valbuena, Rubén; Rosette, Jacqueline; Almeida, Danilo Roberti Alves; Gimenez, Bruno; Cantinho, Roberta; Motta, Alline Zagnolli; Assis, Mauro; Pereira, Francisca Rocha de Souza; Spanner, Gustavo; Higuchi, Niro; Ometto, Jean Pierre


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  <identifier identifierType="DOI">10.5281/zenodo.4036988</identifier>
  <creators>
    <creator>
      <creatorName>Gorgens, Eric Bastos</creatorName>
      <givenName>Eric Bastos</givenName>
      <familyName>Gorgens</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2517-0279</nameIdentifier>
      <affiliation>Universidade Federal dos Vales do Jequitinhonha e Mucuri</affiliation>
    </creator>
    <creator>
      <creatorName>Nunes, Matheus Henrique</creatorName>
      <givenName>Matheus Henrique</givenName>
      <familyName>Nunes</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9979-6456</nameIdentifier>
      <affiliation>University of Helsinki</affiliation>
    </creator>
    <creator>
      <creatorName>Jackson, Tobias</creatorName>
      <givenName>Tobias</givenName>
      <familyName>Jackson</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8143-6161</nameIdentifier>
      <affiliation>University of Cambridge</affiliation>
    </creator>
    <creator>
      <creatorName>Coomes, David</creatorName>
      <givenName>David</givenName>
      <familyName>Coomes</familyName>
      <affiliation>University of Cambridge</affiliation>
    </creator>
    <creator>
      <creatorName>Keller, Michael</creatorName>
      <givenName>Michael</givenName>
      <familyName>Keller</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-0253-3359</nameIdentifier>
      <affiliation>United States Forest Service</affiliation>
    </creator>
    <creator>
      <creatorName>Reis, Cristiano Rodrigues</creatorName>
      <givenName>Cristiano Rodrigues</givenName>
      <familyName>Reis</familyName>
      <affiliation>Universidade de São Paulo</affiliation>
    </creator>
    <creator>
      <creatorName>Valbuena, Rubén</creatorName>
      <givenName>Rubén</givenName>
      <familyName>Valbuena</familyName>
      <affiliation>Bangor University</affiliation>
    </creator>
    <creator>
      <creatorName>Rosette, Jacqueline</creatorName>
      <givenName>Jacqueline</givenName>
      <familyName>Rosette</familyName>
      <affiliation>Swansea University</affiliation>
    </creator>
    <creator>
      <creatorName>Almeida, Danilo Roberti Alves</creatorName>
      <givenName>Danilo Roberti Alves</givenName>
      <familyName>Almeida</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-8747-0085</nameIdentifier>
      <affiliation>Universidade de São Paulo</affiliation>
    </creator>
    <creator>
      <creatorName>Gimenez, Bruno</creatorName>
      <givenName>Bruno</givenName>
      <familyName>Gimenez</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7336-9448</nameIdentifier>
      <affiliation>Instituto Nacional de Pesquisas da Amazônia</affiliation>
    </creator>
    <creator>
      <creatorName>Cantinho, Roberta</creatorName>
      <givenName>Roberta</givenName>
      <familyName>Cantinho</familyName>
      <affiliation>Universidade de Brasília</affiliation>
    </creator>
    <creator>
      <creatorName>Motta, Alline Zagnolli</creatorName>
      <givenName>Alline Zagnolli</givenName>
      <familyName>Motta</familyName>
      <affiliation>Universidade Federal dos Vales do Jequitinhonha e Mucuri</affiliation>
    </creator>
    <creator>
      <creatorName>Assis, Mauro</creatorName>
      <givenName>Mauro</givenName>
      <familyName>Assis</familyName>
      <affiliation>Instituto Nacional de Pesquisas Espaciais</affiliation>
    </creator>
    <creator>
      <creatorName>Pereira, Francisca Rocha de Souza</creatorName>
      <givenName>Francisca Rocha de Souza</givenName>
      <familyName>Pereira</familyName>
      <affiliation>Instituto Nacional de Pesquisas Espaciais</affiliation>
    </creator>
    <creator>
      <creatorName>Spanner, Gustavo</creatorName>
      <givenName>Gustavo</givenName>
      <familyName>Spanner</familyName>
      <affiliation>Instituto Nacional de Pesquisas da Amazônia</affiliation>
    </creator>
    <creator>
      <creatorName>Higuchi, Niro</creatorName>
      <givenName>Niro</givenName>
      <familyName>Higuchi</familyName>
      <affiliation>Instituto Nacional de Pesquisas da Amazônia</affiliation>
    </creator>
    <creator>
      <creatorName>Ometto, Jean Pierre</creatorName>
      <givenName>Jean Pierre</givenName>
      <familyName>Ometto</familyName>
      <affiliation>Instituto Nacional de Pesquisas Espaciais</affiliation>
    </creator>
  </creators>
  <titles>
    <title>L4B - Maximum tree height map for the Brazilian Amazon</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Tropical forest</subject>
    <subject>Amazon</subject>
    <subject>Height</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-09-18</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4036988</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsDocumentedBy" resourceTypeGeneral="Preprint">https://www.biorxiv.org/content/10.1101/2020.05.15.097683v2</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsReferencedBy" resourceTypeGeneral="JournalArticle">10.1111/gcb.15423</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4036987</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/gis</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Maximum tree height distribution estimated by the Random Forest model based on the environmental variables.&amp;nbsp;To explore the influence and importance of the environmental variables for development in tree height, we employed Random Forest modeling, which consists of generating a large number of regression trees, each constructed considering a random data subset. The regression trees are used to identify the best sequence to split the solution space to estimate the output. Were considered 18 environmental variables: (1) fraction of absorbed photosynthetically active radiation (FAPAR; in %); (2) elevation above sea level (Elevation; in m);&amp;nbsp; (3) the component of the horizontal wind towards east, i.e. zonal velocity (u-speed ; in m s&lt;sup&gt;-1&lt;/sup&gt;); (4) the component of the horizontal wind towards north, i.e. meridional velocity (v-speed ; in m s&lt;sup&gt;-1&lt;/sup&gt;); (5) the number of days not affected by cloud cover (clear days; in days yr&lt;sup&gt;-1&lt;/sup&gt;); (6) the number of days with precipitation above 20 mm (days &amp;gt; 20mm; in days yr&lt;sup&gt;-1&lt;/sup&gt;&amp;nbsp;); (7) the number of months with precipitation below 100 mm (months &amp;lt; 100mm; in months yr&lt;sup&gt;-1&lt;/sup&gt;&amp;nbsp;) ; (8) lightning frequency (flashes rate); (9) annual precipitation (in mm); (10) potential evapotranspiration (in mm); (11) coefficient of variation of precipitation (precipitation seasonality; in %); (12) amount of precipitation on the wettest month (precip. wettest; in mm); (13) amount of precipitation on the driest month (precip. driest; in mm); (14) mean annual temperature (in &amp;deg;C); (15)&amp;nbsp; standard deviation of temperature (temp. seasonality; in &amp;deg;C); (16) annual maximum temperature (in &amp;deg;C); (17) soil clay content (in %); and (18) soil water content (in %).&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">Funding was provided by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Brasil (CAPES; Finance Code 001); Conselho Nacional de Desenvolvi­mento Científico e Tecnológico (Processes 403297/2016-8 and 301661/2019-7); Amazon Fund (grant 14.2.0929.1); Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM); Instituto Nacional de Pesquisas Espaciais (INPE); São Paulo Research Foundation (#2018/21338-3 and #2019/14697-0); INCT-Madeiras da Amazônia and Next Generation Ecosystem Experiments-Tropics (NGEE-Tropics), as part of DOE's Terrestrial Ecosystem Science Program – Contract No. DE-AC02-05CH11231; National Academy of Sciences and US Agency for International Development (grant AID-OAA-A-11-00012); Royal Society University Research Fellowship (URF\R\191014).</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>Research Councils UK</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000690</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/RCUK/NERC/NE%2FS010750%2F1/">NE/S010750/1</awardNumber>
      <awardTitle>A 3D perspective on the effects of topography and wind on forest height and dynamics</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>Academy of Finland</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100002341</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/AKA//319905/">319905</awardNumber>
      <awardTitle>Understanding mechanisms of habitat change in fragmented tropical forests for improving conservation</awardTitle>
    </fundingReference>
  </fundingReferences>
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